Triple
T27056014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UML Distilled |
E684897
|
entity |
| Predicate | thirdEditionCovers |
P173213
|
FINISHED |
| Object | UML 2 |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UML 2 | Statement: [UML Distilled, thirdEditionCovers, UML 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdEditionCovers Context triple: [UML Distilled, thirdEditionCovers, UML 2]
-
A.
thirdEditionPublicationDate
Indicates the date on which the third edition of a work was published.
-
B.
thirdEditionYears
Indicates the years during which the third edition of something (e.g., a work, event, or product) was in effect, published, or took place.
-
C.
fourthEditionCovers
Indicates that one entity serves as the cover (or is featured on the cover) of the fourth edition of another entity.
-
D.
numberOfItemsInThirdEdition
Indicates the quantity of items contained in the third edition of a given work or collection.
-
E.
book4Covers
Indicates that one entity is the front or outer covering (such as a dust jacket or protective layer) of a book.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6b342499c8190b85009a3f0f179e4 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b2a31e008190aacef03c2ebe5787 |
completed | May 3, 2026, 2:27 a.m. |
Created at: April 27, 2026, 8:17 a.m.